CS394R: Reinforcement Learning: Theory and Practice -- Spring 2011: Discussion Leaders
Discussion leaders for classes
Week 1 (Introduction)
1/20: Mohamed Fakhreddine
Week 2 (Evaluative Feedback)
1/25: Daniel Urieli
1/27: Hyeonseo Ku
Week 3 (The RL Problem)
2/1: Piyush Khandelwal
2/3: Robert Grant
Week 4 (Dynamic Programming)
2/8: Mattias Larsson
2/10: Varun Jain
Week 5 (Monte Carlo Methods)
2/15: Craig Corcovan
2/17: Dustin Ho
Week 6 (Temporal Difference Methods)
2/22: Katie Genter
2/24: Michael Legatt
Week 7 (Eligiiblity Traces)
3/1: Suman Jana
3/3: Amit Shali
Week 8 (Generalization and Function Approximation)
3/8: Suratna Budalakoti
3/10: Chris Johnson
Week 9 (Planning and Learnng)
3/22 Patrick MacAlpine
3/24 Agoston Petz
Week 10 (Game Playing)
3/29: Anand Subramoney
3/31: Reza Mahjourian
The topics below this is tentative
Week 11 (Efficient Model Based RL)
4/5:
4/7:
Week 12 (Abstraction, Options, and Hierarchy)
4/12: Matthew Hausknecht
4/14: Chris Wiley
Week 13 (Robotic Applications)
4/19: Dan Lessin
4/21: Aditya Rawal
Week 14 (Least Squares Method)
4/26: Yaroslav Rosokka
4/28: Stacy Vanderworth